Model comparison
phi-3-medium 14B vs Qwen1.5 4b Chat
phi-3-medium 14B and Qwen1.5 4b Chat score almost the same on the Noometry Index (29.7 vs 28.8), so choose on price, context window or the category you care about most.
Last verified . 0 shared benchmarks.
Microsoft
Alibaba (Qwen)Summary
- The widest gap is in knowledge, where Qwen1.5 4b Chat leads 26.7 to 9.1.
Side by side
| phi-3-medium 14B | Qwen1.5 4b Chat | |
|---|---|---|
| Provider | Microsoft | Alibaba (Qwen) |
| Noometry Index | 29.7 | 28.8 |
| Released | 2024-04-23 | — |
| Weights | Open | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 13 | 13 |
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Category by category
Coding phi-3-medium 14B leads
phi-3-medium 14B: 36.8 (#201), Qwen1.5 4b Chat: 29.1 (#308)
| Benchmark | phi-3-medium 14B | Qwen1.5 4b Chat |
|---|---|---|
| BigCodeBench Instruct | 37.6% | — |
| LMArena Coding | — | 999 |
| BigCodeBench Complete | 48.7% | — |
Reasoning Not comparable
phi-3-medium 14B: —, Qwen1.5 4b Chat: 18.5 (#279)
| Benchmark | phi-3-medium 14B | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Hard Prompts | — | 976 |
| Adversarial NLI | 55.8% | — |
| BIG-Bench Hard | 81.4% | — |
| Epoch Capabilities Index | 121.23 | — |
| HellaSwag | 82.4% | — |
| WinoGrande | 81.5% | — |
Math Qwen1.5 4b Chat leads
phi-3-medium 14B: 27.3 (#250), Qwen1.5 4b Chat: 30.4 (#234)
| Benchmark | phi-3-medium 14B | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Math | — | 1026 |
| MATH Level 5 | 17.6% | — |
Knowledge Qwen1.5 4b Chat leads
phi-3-medium 14B: 9.1 (#306), Qwen1.5 4b Chat: 26.7 (#255)
| Benchmark | phi-3-medium 14B | Qwen1.5 4b Chat |
|---|---|---|
| GPQA Diamond | 27.6% | — |
| LMArena Expert | — | 980 |
| ARC (AI2) Challenge | 91.6% | — |
| MMLU | 78% | — |
| OpenBookQA | 87.4% | — |
| TriviaQA | 73.9% | — |
Multilingual Not comparable
phi-3-medium 14B: —, Qwen1.5 4b Chat: 24.1 (#290)
| Benchmark | phi-3-medium 14B | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Non-English | — | 979 |
| LMArena Chinese | — | 1024 |
| LMArena German | — | 902 |
| LMArena Russian | — | 952 |
Instruction Following Not comparable
phi-3-medium 14B: —, Qwen1.5 4b Chat: 49.0 (#300)
| Benchmark | phi-3-medium 14B | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Instruction Following | — | 978 |
Long Context Not comparable
phi-3-medium 14B: —, Qwen1.5 4b Chat: 30.1 (#290)
| Benchmark | phi-3-medium 14B | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Longer Query | — | 988 |
Writing & Preference Not comparable
phi-3-medium 14B: —, Qwen1.5 4b Chat: 23.8 (#309)
| Benchmark | phi-3-medium 14B | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Text | — | 997 |
| LMArena Creative Writing | — | 969 |
| LMArena Multi-Turn | — | 977 |
Frequently asked questions
Is phi-3-medium 14B better than Qwen1.5 4b Chat?
phi-3-medium 14B and Qwen1.5 4b Chat score almost the same on the Noometry Index (29.7 vs 28.8), so choose on price, context window or the category you care about most.
Is phi-3-medium 14B or Qwen1.5 4b Chat better for coding?
phi-3-medium 14B scores higher on coding benchmarks: 36.8 versus 29.1 in the Noometry coding category.
How many benchmarks do phi-3-medium 14B and Qwen1.5 4b Chat share?
0 benchmarks have published results for both models. phi-3-medium 14B has 13 scored results on Noometry and Qwen1.5 4b Chat has 13.